Non-Photorealistic Computer Graphics Library

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Found 7 item(s) authored by "Christian Tietjen" Find Author on Google.

Proceedings Combining Silhouettes, Surface, and Volume Rendering for Surgery Education and Planning
Christian Tietjen, Tobias Isenberg, Bernhard Preim.
Eurographics / IEEE VGTC Symposium on Visualization (EUROVIS 2005), pp. 303--310, Leeds, UK, June 1-3, 2005. [BibTeX]

Proceedings Curvature- and Model-Based Surface Hatching of Anatomical Structures Derived from Clinical Volume Datasets
Rocco Gasteiger, Christian Tietjen, Alexandra Baer, Bernhard Preim.
Proceedings of Smart Graphics, pp. 255--262, 2008. [BibTeX]

Proceedings Enhancing Slice-based Visualizations of Medical Volume Data
Christian Tietjen, Björn Meyer, Stefan Schlechtweg, Bernhard Preim, Ilka Hertel, Gero Strauß.
IEEE/Eurographics Symposium on Visualization (EUROVIS'06), pp. 123-130, IEEE, 2006. [BibTeX]

Article GPU-based smart visibility techniques for tumor surgery planning
Christoph Kubisch, Christian Tietjen, Bernhard Preim.
International Journal of Computer Assisted Radiology and Surgery, Vol. 5, No. 6, pp. 667--678, 2010. [BibTeX]

Proceedings Hardware-Accelerated Illustrative Medical Surface Visualization with Extended Shading Maps
Christian Tietjen, Roland Pfisterer, Alexandra Baer, Rocco Gasteiger, Bernhard Preim.
Proceedings of the 9th International Symposium on Smart Graphics (SG'08), pp. 166--167, Springer-Verlag, 2008. [BibTeX]

Proceedings Hardware-accelerated Stippling of Surfaces derived from Medical Volume Data

Author(s): Alexandra Baer, Christian Tietjen, Ragnar Bade, Bernhard Preim.
Proceedings: Eurographics/IEEE-VGTC Symposium on Visualization, pp. 235--242, 2007.
[BibTeX] [DOI] Find this paper on Google

We present a fast hardware-accelerated stippling method which does not require any preprocessing for placing points on surfaces. The surfaces are automatically parameterized in order to apply stippling textures without major distortions. The mapping process is guided by a decomposition of the space in cubes. Seamless scaling with a constant density of points is realized by subdividing and summarizing cubes. Our mip-map technique enables arbitrarily scaling with one texture. Different shading tones and scales are facilitated by adhering to the constraints of tonal art maps. With our stippling technique, it is feasible to encode all scaling and brightness levels within one self-similar texture. Our method is applied to surfaces extracted from (segmented) medical volume data. The speed of the stippling process enables stippling for several complex objects simultaneously. We consider application scenarios in intervention planning (neck and liver surgery planning). In these scenarios, object recognition (shape perception) is supported by adding stippling to semi-transparently shaded objects which are displayed as context information.

Proceedings NPR, Focussing and Emphasis in Medical Visualizations
Bernhard Preim, Christian Tietjen, Christina Dörge.
In Simulation und Visualisierung 2005. SCS, 2005. [BibTeX]

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